Implementation and vehicle tests of a vehicle stop-and-go cruise control system

2002 ◽  
Vol 216 (7) ◽  
pp. 537-544 ◽  
Author(s):  
K Yi ◽  
N Ryu ◽  
H J Yoon ◽  
K Huh ◽  
D Cho ◽  
...  
Keyword(s):  
Control System ◽  
Control Algorithm ◽  
Speed Control ◽  
Step Motor ◽  
Cruise Control ◽  
Longitudinal Control ◽  
Linear Quadratic Optimal Control ◽  
Millimetre Wave ◽  
Stop And Go ◽  
Wave Radar

Implementation and vehicle tests of a vehicle longitudinal control algorithm for stop-and-go cruise control have been performed. The vehicle longitudinal control scheme consists of a set-speed control algorithm, a speed control algorithm, and a distance control algorithm. A desired acceleration for the vehicle for the control of vehicle-to-vehicle relative speed and clearance has been designed using linear quadratic optimal control theory. Performance of the control algorithm has been investigated via vehicle tests. Vehicle tests have been conducted using two test vehicles. A 2000 cm3 passenger car equipped with a radar distance sensor, throttle/brake actuators and a controller has been used as a subject vehicle in the vehicle tests. A millimetre wave radar sensor has been used for distance measurement. A step motor and an electronic vacuum booster have been used for throttle/brake actuators. It has been shown that the implemented vehicle longitudinal control system can provide satisfactory performance in vehicle set-speed control and vehicle clearance control at lower speeds.

An investigation of intelligent cruise control laws for passenger vehicles

2001 ◽  
Vol 215 (2) ◽  
pp. 159-169 ◽  
Author(s):  
K Yi ◽  
S Lee ◽  
Y D Kwon
Keyword(s):  
Solenoid Valve ◽  
Step Motor ◽  
Control Performance ◽  
Cruise Control ◽  
Control Laws ◽  
Millimetre Wave ◽  
Passenger Vehicles ◽  
System A ◽  
Wave Radar ◽  
Non Linear

This paper describes intelligent cruise control (ICC) laws for passenger vehicles. ICC systems consist of a vehicle detection sensor, a controller and throttle/brake actuators. For the control of a throttle/brake system, a solenoid valve controlled electronic vacuum booster (EVB) and a step motor controlled throttle actuator have been used. A non-linear computer model for the electronic vacuum booster has been developed and the simulations were performed using a complete non-linear vehicle model. The proposed control law in this paper consists of an algorithm that generates the desired acceleration/deceleration profile in an ICC situation, a throttle/brake switching logic and a throttle/brake control algorithm. The control performance has been investigated through computer simulations and vehicle tests. The test vehicle is equipped with a millimetre wave radar distance sensor, an Intel 80C196 controller, a solenoid valve controlled EVB and a step motor controlled throttle actuator. The results indicate that the proposed throttle/brake control laws can provide satisfactory vehicle-to-vehicle distance and velocity control performance.

Design of DC Motor Speed Control System Based on SOPC Technology

2012 ◽  
Vol 241-244 ◽  
pp. 1143-1147
Author(s):  
Yi Yao ◽  
Jin Ling Jia ◽  
Guang Jian Chen ◽  
Xian Hai Wang
Keyword(s):  
Control System ◽  
Embedded System ◽  
Control Algorithm ◽  
Design Method ◽  
Speed Control ◽  
Dc Motor ◽  
Motor Speed ◽  
C Language ◽  
Speed Control System ◽  
System Module

The paper describes design technology of FPGA and design method of SOPC, and designs DC motor speed control system based on SOPC technology. To be more specific, it includes establishing a Nios II embedded system on FPGA for which PWM, tachometer module and relative driver are customized. It also applies C language programming to actualize PID control algorithm, and conducts simulation on main system module functions.

Research and Design of DC Blushless Motor Speed Control System Based on Single Neuron PID Control

2013 ◽  
Vol 347-350 ◽  
pp. 322-326
Author(s):  
Qiao Hong Li ◽  
Fang Hou
Keyword(s):  
Control System ◽  
Pid Control ◽  
Control Algorithm ◽  
Single Neuron ◽  
Speed Control ◽  
Motor Speed ◽  
Brushless Dc ◽  
Brushless Motor ◽  
Speed Control System ◽  
Adaptive Pid Control

The speed regulating system of DC blushless motor was mostly studied. This paper is based on a simplified mathematical model of Brushless DC motor which was consisted of the traditional PID and single neurons. In the Simulink environment, it is established by the control algorithm of single neuron adaptive PID brushless DC motor speed control system closed loop simulation model. From simulation results, the single neuron adaptive PID control system of DC brushless motor has excellent dynamic and static performance. Based on the analysis of DC blushless motor speed control system and simulation results of the neural network control algorithm, hardware of the digital control system for DC brushless motor is designed with control center of high performance microcontroller 80C196KC,which is of single neuron adaptive PID control algorithm.

The Speed Control Design Based on Fuzzy Logic

2014 ◽  
Vol 716-717 ◽  
pp. 1540-1544
Author(s):  
Ting Gong ◽  
Hui Yan
Keyword(s):  
Control System ◽  
Pid Control ◽  
Control Algorithm ◽  
Control Design ◽  
Operating Conditions ◽  
Time Varying ◽  
Cruise Control ◽  
Cruise Control System ◽  
Highly Nonlinear ◽  
Fuzzy Pd

The cruise control system has the highly nonlinear and time-varying uncertainty, and it will also influenced by the outside disturbance and complex operating conditions, and it is difficult to obtain a satisfied effect by using traditional PID control. In this paper, the auto cruise control system is designed based on fuzzy PI and fuzzy PD control algorithm, and the simulated effect is also provided.

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